aether
Datasets
All datasets matching “aether”aetheris-experiencesscbe-aethermoore-training-data
Status: canonical. Primary public training dataset for SCBE-AETHERMOORE and the most-used repo in this account. Other scbe-* dataset repos are experiment-specific slices.
SCBE-AETHERMOORE Training Dataset
Supervised fine-tuning (SFT) dataset for the SCBE-AETHERMOORE hyperbolic geometry AI safety and governance framework.
Overview
This dataset contains 10,978 training pairs spanning the full SCBE-AETHERMOORE system: 14-layer architecture knowledge, Six Sacred… See the full description on the dataset page: https://huggingface.co/datasets/issdandavis/scbe-aethermoore-training-data.AetherCode
AetherCode: Evaluating LLMs' Ability to Win In Premier Programming Competitions
Introduction
Competitive programming has emerged as a critical benchmark for evaluating the reasoning and coding capabilities of Large Language Models (LLMs). Despite impressive progress on existing benchmarks, we argue that current evaluations overstate model proficiency, masking a substantial gap between LLMs and elite human programmers. This gap arises… See the full description on the dataset page: https://huggingface.co/datasets/m-a-p/AetherCode.aether-corpus
AETHER Corpus
AETHER = aine, full expert TOUT, king of trading.
Contents
trading-king/
expert-universel/
memories-aether/
AetherCode-v1
Dataset Description
Abstract
The "AetherCode" dataset is designed to fine-tune models on coding tasks across various programming languages, incorporating complex real-world coding scenarios. It aims to push the boundaries of AI in code generation and software development.
How to Load This Dataset
from datasets import load_dataset
dataset = load_dataset("thesven/AetherCode-v1", split="5star")
Languages
The dataset includes coding problems in… See the full description on the dataset page: https://huggingface.co/datasets/thesven/AetherCode-v1.aether-sft-v1-sources
aether-sft-v1-sources
Top-tier generalist SFT instruction-tuning sources for AETHER training. Aggregates the SOTA datasets: Tulu-3 SFT mixture (Allen AI), OpenHermes-2.5 (Teknium), NuminaMath-CoT/1.5 (AI-MO, math reasoning), WildChat-1M (real GPT-4 conversations), Dolphin + Dolphin-R1 (reasoning), Tulu-3 personas (math/instr). Multi-skill: instruction-following, math reasoning, coding, dialogue, multilingual.
Disclaimer (Responsible Disclosure)
This bundle aggregates… See the full description on the dataset page: https://huggingface.co/datasets/jescy525/aether-sft-v1-sources.